{"id":"W2008516411","doi":"10.1136/bmj.39482.526713.be","title":"Prediction of citation counts for clinical articles at two years using data available within three weeks of publication: retrospective cohort study","year":2008,"lang":"en","type":"article","venue":"BMJ","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Retrospective cohort study; Citation; Medicine; Cohort; Statistics; Medical physics; Information retrieval; Computer science; Library science; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06337484,0.00006293561,0.0009219524,0.0001038827,0.00005817489,0.00005041272,0.0005260469,0.00003233289,0.001789477],"category_scores_gemma":[0.0213459,0.00003848211,0.0001922805,0.0005562705,0.00006436565,0.000229325,0.00009547274,0.00003730043,0.000312945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002659818,"about_ca_system_score_gemma":0.0000726036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002161106,"about_ca_topic_score_gemma":0.00004249629,"domain_scores_codex":[0.9921227,0.001025782,0.004307462,0.000458585,0.002019495,0.00006604393],"domain_scores_gemma":[0.9925682,0.0008245445,0.003051549,0.002122509,0.001399685,0.00003350107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008075067,0.00006828565,0.8464875,0.000004142468,0.0001023593,1.758904e-7,0.0001231055,0.00001436104,0.00002801738,0.0001126022,0.1527042,0.0003471397],"study_design_scores_gemma":[0.0002602965,0.00007192718,0.9301489,0.000008825901,0.000181368,0.00000301066,0.0001354554,0.06555364,0.000009523594,0.0005869376,0.003004351,0.00003576835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860693,0.00008849701,0.009064272,0.00007073076,0.000242955,0.001552384,0.0001119363,0.000003221838,0.002796744],"genre_scores_gemma":[0.9894204,0.000005451423,0.007795037,0.00001534565,0.00008686163,0.00002512165,0.00002990653,0.000004799673,0.002617034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1496999,"threshold_uncertainty_score":0.999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9025957424564648,"score_gpt":0.5852338483111246,"score_spread":0.3173618941453402,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}